Abstract: License Plate Recognition (LPR) system is a special type of Intelligent Transport System (ITS). It is used to identify and recognise car plate registration numbers. However, the LPR system’s performance is still an issue. This is due to different countries apply different standard plates, besides other influenced factors such as noises and illumination. The aim of this study is to compare the proposed algorithm with the recent studies on Malaysian LPR systems to investigate how such factors would affect the system performance in plate recognition. The finding proposes that the smearing algorithm is the most suitable algorithm to be implemented in Malaysian LPR system.